殷英

作者:责任编辑:伏健审核人:发布时间:2025-01-10浏览次数:987

殷英

特任副教授,硕士生导师

邮箱:yingyin@upc.edu.cn

办公地点:山能新能源大厦481 (古镇口校区)


教育经历

2014.09-2021.06

西安交通大学,动力工程及工程热物理,博士

2018.12-2020.09

美国德克萨斯大学奥斯汀分校,石油工程,博士联培

2010.09-2014.06

中国石油大学(华东),热能与动力工程,学士

工作经历

2025.01-至今

中国石油大学(华东),特任副教授

2023.7-2024.12

北京理工大学深圳汽车研究院,预聘副研究员

2021.07-2023.06

华为技术有限公司,博士后研究员

研究领域/招生方向

Ÿ 孔隙/REV尺度下气-固吸附/扩散/流动/传热的多物理场耦合输运研究;

Ÿ 多孔电极内热质传输、析锂决速机制,及快充优化策略研究;

Ÿ 锂离子电池多物理场耦合建模及老化失效机理研究;

Ÿ 复杂多孔介质(如岩石、多孔电极)的重构与结构特性表征;

主讲课程

主持项目

[1] 动力电池多孔电极内热质传输特性与快充析锂决速机制的作用关系,国家自然科学基金青年基金(52406067),2025.01-2017.12

学术论文

[1]  Y. Yin, H. Wang, H. Zuo, et al. An upscaling framework for predicting gas multiscale transport behavior in shale matrix-microfracture systems considering microscopic transport mechanisms. Physics of Fluids, 2025, 37:022002.

[2]  H. Wang#, M. Wang#, Y. Yin#, et al. A universal structure of neural network for predicting heat, flow and mass transport in various porous media. International Journal of Heat and Mass Transfer, 2025; 241:126688. (#共同一作)

[3]  Kai Yang, Wen-Ke Zhang, Ying Yin, Jinrui Nan, Wenwei Wang, Jiuchun Jiang, Xiao-Guang Yang*. A hierarchical electrochemical-thermal-mechanical coupled model capable of predicting non-uniform behaviors in large-format Li-ion cells. Journal of Power Sources, 2025, 629: 236049.

[4]  X.Y. Ma, W.K. Zhang, Y. Yin, K.L. Liu, X.G. Yang. Multi-objective optimization of lithium-ion battery designs considering the dilemma between energy density and rate capability. Energy and AI, 2024, 18100416

[5]  H. Zuo, S.C. Deng, H.B. Li, Y. Yin*, et al. Upscaled permeability for gaseous microflows in porous media with arbitrary multiscale heterogeneities. Physics of Fluids, 2024, 36: 113108. (*通讯作者)

[6]  H. Zuo, Y. Yin*, Z.Q. Yang*, et al. High-order models for convection-diffusion-reaction transport in multiscale porous media. Chemical Engineering Science, 2024, 286:119663. (*通讯作者)

[7]  Y. Yin, Z.G. Qu, M. Prodanović, et al. Identifying the dominant transport mechanism in single nanoscale pores and 3D nanoporous media. Fundamental Research, 2023, 3(3): 409-421.

[8]  Y. Yin, Z.G. Qu, C.Y. Zhu, et al. Visualizing gas diffusion behaviors in three-dimensional nanoporous media. Energy & Fuel, 2021, 35(3): 2075-2086.

[9]  J.E. Santos, Y. Yin, H. Jo, W. Pan, Q.J. Kang, H.S. Viswanathan, M. Prodanović, M.J. Pyrcz, N. Lubbers. Computationally Efficient Multiscale Neural Networks Applied to Fluid Flow in Complex 3D Porous Media. Transport in Porous Media. 2021, 140: 241–272.

[10]      W.H. Song, Y. Yin, C.J. Landry, M. Prodanović, Z.G. Qu, J. Yao. A local-effective-viscosity multi-relaxation-time lattice Boltzmann pore-network coupling model for gas transport in complex nanoporous media. SPE Journal, 2021, 26(01): 461-81.

[11]      Y. Yin, Z.G. Qu, T. Zhang, J.F. Zhang, Q.Q. Wang. Three-dimensional pore-scale study of methane gas mass diffusion in shale with spatially heterogeneous and anisotropic features, Fuel, 2020, 273:117750.

[12]      Z.G. Qu, Y. Yin, H. Wang, J.F. Zhang. Pore-scale investigation on coupled diffusion mechanisms of free and adsorbed gases in nanoporous organic matter. Fuel, 2020, 260: 116423.

[13]      Y. Yin, Z.G. Qu, J.F. Zhang. Multiple diffusion mechanisms of shale gas in nanoporous organic matter predicted by the local diffusivity lattice Boltzmann model. International Journal of Heat and Mass Transfer, 2019, 143: 118571.

[14]      Y. Yin, Z.G. Qu, J.F. Zhang. Pore-scale prediction of the effective mass diffusivity of heterogeneous shale structure using the lattice Boltzmann method. International Journal of Heat and Mass Transfer, 2019, 133: 976-985.

[15]      Y. Yin, Z.G. Qu, J.F. Zhang. An analytical model for shale gas transport in kerogen nanopores coupled with real gas effect and surface diffusion. Fuel, 2017, 210: 569-577.

学术专著

中国发明专利

[1]  欧珍珍, 殷英, 杨晓光. 一种强制风冷散热系统的优化设计方法及其装置. 授权日:2024.4.30,专利号:CN202410149965.0

国际发明专利

起草标准

获奖荣誉

 学术兼职